Latest Interviews
Showing 16–30 of 82 transcripts.
Clear all filters- RAISE Summit31 min
Clarifai, Oracle, TensorWave, Cherry & Vaire: Sovereign AI in a Borderless Tech World
Nadia, Rodolfo, Don Barnetson, Peter Tomasik, Hakim Lumi, Matt Zehler
Panelists including Peter Tomasik, Hakim Lumi, and Don Barnetson established that physical infrastructure and talent are the primary prerequisites for Sovereign AI, warning that Europe faces a competitive deficit while the Middle East leverages energy wealth to emerge as a third global contender. The discourse highlighted significant risks regarding stranded hardware assets due to rapid obsolescence and emphasized that current enterprise adoption remains driven by pragmatic cost and performance rather than theoretical sovereignty. Strategic recommendations from the session urge diverse silicon sourcing, cohesive national policy frameworks, and a shift toward "security by design" to address the complex vulnerabilities inherent in large language model deployment.
- RAISE Summit20 min
A Fireside Chat with Luc Julia, Renault & Matthieu de Chanville, Shift for Good
Luc Julia, Matthieu de Chanville
Luc Beaulieu, Renault's Chief Scientific Officer, highlights the critical lag between century-old automakers and agile startups regarding AI adoption, noting that legacy software cycles remain incompatible with the rapid hardware refresh rates required for software-defined vehicles. While dismissing the feasibility of Level 5 autonomy and humanoids, Beaulieu champions specialized "physical AI," geo-fenced Level 4 robot taxis, and virtual sensor technologies to enhance manufacturing efficiency and reduce environmental impacts. These insights are further reinforced by the "Software Republic" consortium, which includes Renault and Thales, as it advances a vision where artificial intelligence serves as a specialized tool to augment human capability rather than replace it.
- RAISE Summit18 min
Ramine Roane, CVP @ AMD: Unlocking the Next Wave of AI Open Foundations for Intelligent Systems
AMD outlines a strategic pivot where AI intelligence growth now relies on distributed compute across pre-training, post-training, and reasoning inference, supported by a hardware roadmap featuring the MI350 and MI400 series with superior memory capacity compared to competitors. The company promotes an open software ecosystem via the ROCm stack and optimized inference architectures like LMD, which are already deployed in top global supercomputers and sovereign data centers in the US, Europe, and the Middle East. By advocating for multi-vendor strategies and open standards, AMD aims to establish a global industrial-scale foundation for AI that prevents single-supplier dependency while delivering performance metrics that exceed current closed-source alternatives.
- RAISE Summit15 min
Craig Tavares, President of BuzzHPC: The Global Contest for AI Sovereignty
Craig Taveras, President and CEO of BuzzHPC, leads a Canadian-owned sovereign GPU cloud provider that constructs power-dense, hydroelectric-powered infrastructure to ensure domestic data control against foreign legal influences like the U.S. Cloud Act. Responding to a 4x increase in rack density and a shift from air to liquid cooling, the company deploys over 300 megawatts of capacity to support high-performance AI workloads while addressing critical national talent retention in Montreal, Toronto, and Alberta. This sovereign approach combines accelerated government funding with strict Protected B compliance to offer enterprises a unified, secure environment for training and hosting applications that traditional cloud providers cannot guarantee.
- RAISE Summit18 min
Eric Piscini (Hashgraph) & Jonathan Dotan (EQTY Lab): Proof of Trust Rethinking AI ft. DLTBlockchain
Equity Lab and its partner Hedera are deploying a hardware-rooted system that leverages next-generation Intel and NVIDIA secure enclaves to generate tamper-proof certificates for AI agents, addressing the critical trust barrier identified by business leaders. This architecture delivers a 400,000x performance improvement in cryptographic proof generation while recording immutable audit trails on the Hedera blockchain to ensure compliance with global regulations like GDPR. Following a successful pilot with 11 Accenture agents, the technology positions itself as an essential infrastructure for the projected trillions of autonomous agents expected to dominate future web traffic and enterprise supply chains.
- RAISE Summit40 min
Antoine Bordes (Helsing) & Gaël Varoquaux (INRIA): Where Public Research Meets Innovation
Antoine Bordes, Gaël Varoquaux, Rob, Isabelle Riel, Joëlle Barral
At the expanded RAISE conference, experts from institutions including INRIA, Google DeepMind, and Helsing discussed the critical friction between public research and private innovation in the European AI ecosystem. Panelists outlined a 2035 vision where generative AI transforms healthcare and defense through rapid commercialization, while warning that bureaucratic bottlenecks and a "one-way door" for talent are stifling Europe's competitive growth. The discussion emphasized a need to shift from funding isolated technologies to building scalable products that bridge the gap between foundational academic discovery and urgent market application.
- RAISE Summit34 min
Ori, PolyAI, Cresta, Writer & Fireworks AI: Is Enterprise Defensibility Possible in an AI's World?
Mike Butcher, May Habib, Russell Banzon, Nicola, Lynn, Amalia, Mahdi
Industry leaders convened to declare that traditional SaaS and seat-based pricing models are collapsing as enterprises pivot to agentic AI, where value is derived from direct outcomes and autonomous revenue generation rather than software access. The consensus emphasizes that architectural advantages are temporary, with true defensibility emerging only through proprietary data flywheels and comprehensive organizational adoption strategies that integrate AI into core workflows. Looking toward 2025, the panel predicts a surge in production-level deployments driven by a tenfold reduction in infrastructure costs, forcing companies to prioritize offensive scaling over defensive postures to survive rapid market disruption.
- RAISE Summit35 min
AI Visionaries Panel: Collaboration is All You Need! Open Source as AI's Great Accelerator
Olivier, Ankit, Matt, Mitchell, Jim, Jonathan
Leaders from Nvidia, Red Hat, Mozilla, and the Linux Foundation convened to analyze the symbiotic relationship between AI-driven investment strategies and the accelerating open-source ecosystem. The panel emphasized that while artificial intelligence boosts code velocity, the primary value in commercial open source now lies in community coordination and neutral standards that prevent market fragmentation. Key outcomes included the identification of a "reverse venture capital" approach for selecting durable projects and a consensus that human oversight remains critical for navigating the legal and architectural challenges of AGI development.
- RAISE Summit22 min
WEKA, Cohere, Nebius: Rewriting the Rules Agentic AI and the Race to Scale
Lauren Vaccarello, Cécile Robert-Michon, Dan Shtan, VYACHESLAV TYKHONOVSKYI, DAN GALPIN, Danila
At a panel on AI infrastructure and economics, Weka CMO Lauren Vaccarello, Cohere's Cécile Robert-Michon, and Nabeus CTO Dan Galpin discussed the necessity of rethinking legacy systems to support massive scale and agentic AI. The speakers emphasized that modern requirements prioritize intelligence per token over raw cost efficiency, citing Nabeus's software-first approach that achieves near-NVIDIA benchmark performance without virtualization and Cohere's converged storage solutions that deliver 20x faster checkpointing. They concluded that enterprises must abandon rigid long-term planning in favor of short-cycle agility to navigate the rapidly shifting demands of privacy, security, and compute resources in a commercial AI landscape.
- RAISE Summit19 min
Alok Sama & Nikesh Arora: AI, Cybersecurity, and Bold Leadership
The event outlines a systemic shift toward the democratization of intelligence, where agentic AI transforms search, disrupts traditional ride-sharing economics through autonomous fleets, and expands cybersecurity threats into state-sponsored warfare. Parallel to these technological shifts, the discussion contrasts high-risk investment strategies at SoftBank with Palo Alto Networks' disciplined acquisition model of retaining founders to build unified security platforms. The presentation concludes by warning of an imminent quantum computing vulnerability that threatens current encryption standards before defenders can establish quantum-safe protocols.
- RAISE Summit20 min
Dr. Uri Yerushalmi, Co-Founder&CAIO, Fetcherr: How AI Driven Decision Maximizes Business Performance
Dr. Uri Yerushalmi, Uri Arushalmi
Uri Arushalmi, Chief AI Officer of Fetcher, presents Large Market Models as a quantitative evolution beyond current generative AI, utilizing deep learning on complex market data to simulate probabilistic dynamics rather than just processing text. These systems integrate internal and external data to run computational simulations that select policies maximizing revenue, successfully generating statistically significant revenue uplifts exceeding 10% in A/B testing. By enabling proactive anticipation of market shifts instead of reactive responses, this approach allows organizations to define competitive outcomes through structural market access rather than traditional operational metrics.
- RAISE Summit18 min
Mike Mattacola, CBO of CoreWeave: Building the Next Generation of Cloud in Europe
CoreWeave announced an all-stock acquisition of Core Scientific to secure over 1.3 gigawatts of U.S. power capacity, while its revenue surged from $15.8 million to nearly $2 billion driven by strategic partnerships with major AI firms like Mistral and NVIDIA. The company is aggressively expanding European infrastructure with €1 billion in investments across six data centers and a seventh pipeline, utilizing a global supply chain strategy to mitigate local capital and talent shortages. Looking ahead, CoreWeave aims to lead industry consolidation by focusing on rapid capacity deployment and talent acquisition rather than active mergers, positioning its Blackwell and future Rubin hardware to support the next generation of high-performance computing.
- RAISE Summit21 min
Alexis Ohanian, Founder, 776, Reddit & Victorien Tixier, CEO, ScorePlay: The Future of AI in Sports
Alexis Ohanian, Victorien Tixier, Vic
At an industry conference, Reddit co-founder Alexis Ohanian interviewed Scoreplay CEO Vic LaRosa to discuss how artificial intelligence will commoditize content production while elevating live sports as the premier vehicle for authentic, real-time human connection. Their dialogue highlighted Scoreplay's mission to replace legacy infrastructure with centralized AI automation for media asset management, a strategy designed to unlock global market reach through instant localization and data-driven camera placement. The conversation further emphasized a strategic pivot toward women's sports, where Ohanian argues that re-underwriting assets from first principles and leveraging digital-first storytelling will drive exponential valuation growth and reshape traditional league dynamics.
- RAISE Summit19 min
Jennifer Tejada, CEO&Chairperson, PagerDuty: Never Miss a Beat Building Reliable Experiences with AI
Spotify and PagerDuty are leveraging artificial intelligence and standardized infrastructure to address a 43% surge in major operational incidents that cost enterprises nearly $1 million each. By shifting from a pet-centric to a cattle-centric philosophy, Spotify enforced rigid "golden paths" through its Backstage platform, a move that enabled fleet-wide code transformations and the commercialization of its internal tools as the B2B "Portal" product. This evolution toward automated digital resilience and code remediation prioritizes predictability over developer autonomy, allowing Spotify to manage its massive codebase while transforming into a higher-margin infrastructure provider.
- RAISE Summit10 min
Jack Collier, Chief Growth & Marketing Manager, IO.Net: Why Open Models Need Open Infrastructure
A recent analysis identifies a critical infrastructure bottleneck where centralized control of compute power and API dominance force 70% of users toward closed-source models despite 83% preferring open alternatives. To dismantle these barriers, io.net leverages a global distributed network of over 1,000 GPUs to slash costs from $15 to $3.50 per million tokens while offering transparent, blockchain-verified access for training and inference. The platform is further expanding its ecosystem through a new "Training as a Service" feature and an inaugural hackathon, aiming to accelerate the shift toward a permissionless, decentralized AI future.